Self-Organized Mobile Communication Technologies and Techniques for Network Optimization

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering
Cover of the book Self-Organized Mobile Communication Technologies and Techniques for Network Optimization by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522502418
Publisher: IGI Global Publication: April 25, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522502418
Publisher: IGI Global
Publication: April 25, 2016
Imprint: Information Science Reference
Language: English

With increased consumer use and adoption, mobile communication technologies are faced with the challenge of creating an adequate wireless networking architecture that can support a high degree of scalability, performance, and reliability in a cost-effective manner without comprising security or quality of service. Self-Organized Mobile Communication Technologies and Techniques for Network Optimization explores self-organizing networks (SONs) as a proposed solution for the automation of mobile communication tasks that currently require significant efforts for planning, operation, and management. Emphasizing research on the latest generation of mobile communication networks, the 5th generation (5G), this publication proposes timely solutions and presents the latest developments in the field of mobile communication technologies. IT developers, engineers, graduate-level students, and researchers will find this publication to be essential to their research needs.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

With increased consumer use and adoption, mobile communication technologies are faced with the challenge of creating an adequate wireless networking architecture that can support a high degree of scalability, performance, and reliability in a cost-effective manner without comprising security or quality of service. Self-Organized Mobile Communication Technologies and Techniques for Network Optimization explores self-organizing networks (SONs) as a proposed solution for the automation of mobile communication tasks that currently require significant efforts for planning, operation, and management. Emphasizing research on the latest generation of mobile communication networks, the 5th generation (5G), this publication proposes timely solutions and presents the latest developments in the field of mobile communication technologies. IT developers, engineers, graduate-level students, and researchers will find this publication to be essential to their research needs.

More books from IGI Global

Cover of the book Progressions and Innovations in Model-Driven Software Engineering by
Cover of the book Innovative Professional Development Methods and Strategies for STEM Education by
Cover of the book Revolutionizing Education through Web-Based Instruction by
Cover of the book Global Place Branding Campaigns across Cities, Regions, and Nations by
Cover of the book Organizational Culture and Ethics in Modern Medicine by
Cover of the book Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking by
Cover of the book Politics, Protest, and Empowerment in Digital Spaces by
Cover of the book Interactive Media Use and Youth by
Cover of the book Organizations and Social Networking by
Cover of the book Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction by
Cover of the book Technical Writing, Presentational Skills, and Online Communication by
Cover of the book Servant Leadership by
Cover of the book Revolutionizing K-12 Blended Learning through the i²Flex Classroom Model by
Cover of the book Advancing Pharmaceutical Processes and Tools for Improved Health Outcomes by
Cover of the book Multi-User Virtual Environments for the Classroom by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy